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Steady-State BOLD Response Modulates Low Frequency Neural Oscillations
Neural oscillations are the intrinsic characteristics of brain activities. Traditional electrophysiological techniques (e.g., the steady-state evoked potential, SSEP) have provided important insights into the mechanisms of neural oscillations in the high frequency ranges (>1 Hz). However, the neu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260215/ https://www.ncbi.nlm.nih.gov/pubmed/25488025 http://dx.doi.org/10.1038/srep07376 |
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author | Wang, Yi-Feng Liu, Feng Long, Zhi-Liang Duan, Xu-Jun Cui, Qian Yan, Jin H. Chen, Hua-Fu |
author_facet | Wang, Yi-Feng Liu, Feng Long, Zhi-Liang Duan, Xu-Jun Cui, Qian Yan, Jin H. Chen, Hua-Fu |
author_sort | Wang, Yi-Feng |
collection | PubMed |
description | Neural oscillations are the intrinsic characteristics of brain activities. Traditional electrophysiological techniques (e.g., the steady-state evoked potential, SSEP) have provided important insights into the mechanisms of neural oscillations in the high frequency ranges (>1 Hz). However, the neural oscillations within the low frequency ranges (<1 Hz) and deep brain areas are rarely examined. Based on the advantages of the low frequency blood oxygen level dependent (BOLD) fluctuations, we expected that the steady-state BOLD responses (SSBRs) would be elicited and modulate low frequency neural oscillations. Twenty six participants completed a simple reaction time task with the constant stimuli frequencies of 0.0625 Hz and 0.125 Hz. Power analysis and hemodynamic response function deconvolution method were used to extract SSBRs and recover neural level signals. The SSEP-like waveforms were observed at the whole brain level and at several task-related brain regions. Specifically, the harmonic phenomenon of SSBR was task-related and independent of the neurovascular coupling. These findings suggested that the SSBRs represent non-linear neural oscillations but not brain activations. In comparison with the conventional general linear model, the SSBRs provide us novel insights into the non-linear brain activities, low frequency neural oscillations, and neuroplasticity of brain training and cognitive activities. |
format | Online Article Text |
id | pubmed-4260215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-42602152014-12-15 Steady-State BOLD Response Modulates Low Frequency Neural Oscillations Wang, Yi-Feng Liu, Feng Long, Zhi-Liang Duan, Xu-Jun Cui, Qian Yan, Jin H. Chen, Hua-Fu Sci Rep Article Neural oscillations are the intrinsic characteristics of brain activities. Traditional electrophysiological techniques (e.g., the steady-state evoked potential, SSEP) have provided important insights into the mechanisms of neural oscillations in the high frequency ranges (>1 Hz). However, the neural oscillations within the low frequency ranges (<1 Hz) and deep brain areas are rarely examined. Based on the advantages of the low frequency blood oxygen level dependent (BOLD) fluctuations, we expected that the steady-state BOLD responses (SSBRs) would be elicited and modulate low frequency neural oscillations. Twenty six participants completed a simple reaction time task with the constant stimuli frequencies of 0.0625 Hz and 0.125 Hz. Power analysis and hemodynamic response function deconvolution method were used to extract SSBRs and recover neural level signals. The SSEP-like waveforms were observed at the whole brain level and at several task-related brain regions. Specifically, the harmonic phenomenon of SSBR was task-related and independent of the neurovascular coupling. These findings suggested that the SSBRs represent non-linear neural oscillations but not brain activations. In comparison with the conventional general linear model, the SSBRs provide us novel insights into the non-linear brain activities, low frequency neural oscillations, and neuroplasticity of brain training and cognitive activities. Nature Publishing Group 2014-12-09 /pmc/articles/PMC4260215/ /pubmed/25488025 http://dx.doi.org/10.1038/srep07376 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article Wang, Yi-Feng Liu, Feng Long, Zhi-Liang Duan, Xu-Jun Cui, Qian Yan, Jin H. Chen, Hua-Fu Steady-State BOLD Response Modulates Low Frequency Neural Oscillations |
title | Steady-State BOLD Response Modulates Low Frequency Neural Oscillations |
title_full | Steady-State BOLD Response Modulates Low Frequency Neural Oscillations |
title_fullStr | Steady-State BOLD Response Modulates Low Frequency Neural Oscillations |
title_full_unstemmed | Steady-State BOLD Response Modulates Low Frequency Neural Oscillations |
title_short | Steady-State BOLD Response Modulates Low Frequency Neural Oscillations |
title_sort | steady-state bold response modulates low frequency neural oscillations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260215/ https://www.ncbi.nlm.nih.gov/pubmed/25488025 http://dx.doi.org/10.1038/srep07376 |
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